Airbus India Data Scientist Internship 2025:Eligibility, Skills & Deadlines

Role Summary

Join Airbus India’s digital & analytics group to build, test, and refine machine-learning solutions that power next-generation aerospace products and services. You will work beside seasoned data scientists and software engineers, gaining hands-on experience with the entire ML pipeline—from raw data ingestion to model deployment—while contributing to projects that have direct business impact.

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Key Responsibilities

• Data Exploration & Pre-processing
  • Collect, clean, transform, and engineer features; handle missing data and outliers
• Model Development
  • Implement and tune algorithms for regression, classification, and clustering under senior mentorship
• Model Validation
  • Evaluate performance using appropriate metrics; perform cross-validation and error analysis
• Experimentation & Hyper-parameter Tuning
  • Design controlled experiments; compare alternative model configurations
• Documentation & Reporting
  • Maintain clear code comments, notebooks, and technical reports; present insights in team reviews
• Continuous Learning
  • Complete self-directed coursework and peer sessions on advanced ML and Generative AI concepts
• Collaboration
  • Work closely with data engineers, product owners, and domain experts to translate business needs into analytical solutions
• Compliance & Integrity
  • Adhere to Airbus policies on data security, ethics, and regulatory compliance

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Required Skills & Knowledge

• Strong foundation in linear algebra, calculus, probability, statistics
• Programming proficiency in Python for data analysis and model building
• Working knowledge of machine-learning algorithms (linear/logistic regression, decision trees, random forests, k-means, etc.)
• Familiarity with NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn
• Analytical mindset with excellent problem-solving abilities
• Clear written and verbal communication skills; ability to simplify complex findings

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Good-to-Have (Adds Advantage)

• Introductory understanding of Generative AI (LLMs, diffusion models)
• Experience with TensorFlow or PyTorch
• Version control using Git
• Exposure to cloud platforms such as AWS or GCP

Eligible Batches

• 2024, 2025, 2026, 2027 graduating batches of B.E./B.Tech./M.E./M.Tech. or integrated master’s programs
• Recent graduates of 2023 may also apply if total professional experience ≤ 1 year

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Education Requirements

• Pursuing or recently completed Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or any quantitative discipline with ≥ 60 % aggregate

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Technical Skills (comma separated)

Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Machine Learning, Linear Regression, Logistic Regression, Decision Trees, Random Forests, K-Means Clustering, TensorFlow, PyTorch, Generative AI, Large Language Models, Git, AWS, GCP, Data Pre-processing, Feature Engineering, Model Validation, Hyper-parameter Tuning, Statistics, Probability, Linear Algebra

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What You Will Gain

• Real-world exposure to complex aerospace datasets and predictive models
• Mentorship from senior data scientists and engineers at a global aerospace leader
• Opportunity to contribute code that moves into production environments
• Flexible working arrangements to support innovative thinking

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Diversity & Inclusion

Airbus is committed to equal opportunities and an inclusive workplace. Applications are welcome from all qualified candidates regardless of background, gender identity, disability, or belief